Triple

T19335532
Position Surface form Disambiguated ID Type / Status
Subject The Green Fairy Book E483612 entity
Predicate hasPart P35 FINISHED
Object The Three Little Pigs NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Three Little Pigs | Statement: [The Green Fairy Book, hasPart, The Three Little Pigs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Three Little Pigs
Context triple: [The Green Fairy Book, hasPart, The Three Little Pigs]
  • A. The Three Little Pigs chosen
    The Three Little Pigs is a classic folk tale, popularized by a 1933 Disney animated short, about three pigs who build houses of different materials to protect themselves from a Big Bad Wolf.
  • B. The Three Bears
    The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
  • C. The Little Red Hen
    The Little Red Hen is a classic folk tale character—a hardworking hen who teaches lessons about responsibility and the rewards of effort when others refuse to help.
  • D. The Wise Little Hen
    The Wise Little Hen is a 1934 Walt Disney animated short film best known for introducing the character Donald Duck.
  • E. The Gingerbread Man
    The Gingerbread Man is a 1998 legal thriller film directed by Robert Altman, based on a John Grisham story and starring Kenneth Branagh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.